TSA Statistician: 1529 and 1530 Education, Methods and Resume
TSA statisticians design and apply statistical methods to help the agency understand operations, workforce trends, technology performance, risk and transportation data.
Federal statistical positions can be classified in 1529 Mathematical Statistics or 1530 Statistics. The two series overlap, but their education standards are not identical.
Role at a Glance
| Topic | General current information |
|---|---|
| Main series | 1529 Mathematical Statistics or 1530 Statistics |
| Career family | Mission Support STEM |
| Main purpose | Professional statistical research and analysis |
| Education requirement | Specific semester-hour standards apply |
| Transcripts | Commonly required |
| Specialized experience | Required for many positions above entry level |
| Federal resume | Required |
| Universal TSA statistics test | No |
| Technical assessment | Possible |
| Background process | Required |
| Clearance or sensitivity | Position specific |
| Telework | Vacancy specific |
Series 1529: Mathematical Statistics
The 1529 standard requires a degree or qualifying coursework that includes:
- 24 semester hours in mathematics and statistics;
- at least 12 semester hours in mathematics; and
- at least 6 semester hours in statistics.
The mathematics coursework must include enough advanced content to demonstrate professional mathematical preparation.
This series is appropriate when the work’s paramount requirement is mathematical-statistical theory and methodology.
Series 1530: Statistics
The 1530 standard requires a degree or qualifying coursework that includes:
- 15 semester hours in statistics, or in mathematics and statistics with at least 6 semester hours in statistics; and
- 9 additional semester hours in a related physical, biological, medical, educational, engineering or social-science field.
This series is appropriate when professional statistical practice is the main qualification requirement.
What Statisticians Can Do at TSA
Assignments can involve:
- survey design;
- sampling;
- estimation;
- experimental design;
- forecasting;
- quality assurance;
- workforce analysis;
- performance measurement;
- technology evaluation;
- risk analysis;
- data validation;
- trend analysis;
- model assessment;
- uncertainty quantification;
- statistical reporting; and
- advising decision-makers on interpretation.
The work is more than calculating averages or producing charts. A professional statistician must choose defensible methods, test assumptions and communicate limitations.
Statistician Versus Operations Research Analyst
| Statistician | Operations Research Analyst |
|---|---|
| Focuses on sampling, inference, estimation and statistical validity | Focuses on decisions, optimization, simulation and resource allocation |
| Statistical theory and method are central | Statistics is one tool among several analytical methods |
| Often studies what the data supports | Often compares what may happen under alternative decisions |
| Series 1529 or 1530 | Series 1515 |
A vacancy’s primary qualification requirement determines the series.
Statistician Versus Program Analyst
A Program Analyst can interpret data, build performance measures and evaluate programs without meeting a professional statistical education standard.
A Statistician is expected to demonstrate formal statistical competence, including method selection, uncertainty and data-quality analysis.
Education and Transcripts
Applicants should review transcripts before applying.
Confirm that they show:
- institution name;
- course title;
- semester or quarter hours;
- grades;
- degree and conferral date when applicable; and
- enough information to identify mathematics, statistics and related coursework.
Do not assume that a data science, economics, psychology or business degree automatically meets either series. The actual courses and content control.
Specialized Experience
Relevant experience can include:
- designing samples;
- developing statistical models;
- conducting hypothesis tests;
- estimating uncertainty;
- evaluating survey or administrative data;
- analyzing missingness or bias;
- validating methods;
- designing experiments;
- developing statistical reports;
- advising nontechnical leaders; and
- improving data quality.
Simple tabulation, arithmetic summaries or chart production generally do not establish professional statistical experience by themselves.
Federal Resume Evidence
A strong resume should identify:
- research or operational question;
- population and sample;
- dataset size;
- statistical method;
- assumptions tested;
- software used;
- validation approach;
- confidence intervals or uncertainty treatment;
- limitations;
- recommendation or decision supported;
- measurable result;
- dates; and
- hours worked per week.
Useful outcomes can include:
- improved estimate precision;
- corrected biased sampling;
- identified a misleading performance measure;
- automated a recurring analysis;
- improved data quality;
- designed a valid evaluation;
- prevented an unsupported conclusion; or
- clarified uncertainty for leadership.
Do not disclose protected operational data, personally identifiable information or nonpublic security details.
Tools
Vacancies can value experience with:
- R;
- Python;
- SAS;
- SQL;
- Stata;
- statistical packages;
- survey tools;
- data-visualization tools;
- cloud environments; and
- reproducible analytical workflows.
Explain the statistical problem and result rather than listing software alone.
Interview and Assessment Preparation
Prepare examples involving:
- biased or incomplete data;
- a failed assumption;
- choosing a sampling method;
- explaining uncertainty;
- an analysis that contradicted expectations;
- pressure to overstate a result;
- a misleading chart or metric;
- model validation;
- correcting an error; and
- protecting sensitive data.
A technical work sample or presentation is possible when the vacancy uses one.
Can a TSO Become a Statistician?
Yes, after meeting the education and experience requirements.
Operational knowledge can help identify realistic questions, but it does not replace professional statistical coursework.
Useful development can include:
- completing mathematics and statistics coursework;
- earning a relevant degree;
- learning professional software;
- supporting authorized data-quality work;
- completing survey or experimental-design projects;
- entering a developmental analytical role; and
- building a non-sensitive portfolio.
Pay, Location and Telework
Pay depends on TSA band, locality, duty station, technical complexity, supervisory responsibility and the final offer.
Some analytical work can be telework eligible. Secure datasets, collaborative projects and classified programs can require onsite attendance.
Common Application Mistakes
Applicants often:
- apply to 1529 or 1530 without checking coursework;
- omit transcripts;
- assume chart-making is professional statistics;
- list software without methods;
- omit sampling or uncertainty;
- provide no validation evidence;
- confuse statistics with operations research or program analysis;
- disclose protected data;
- copy the vacancy; or
- omit hours worked per week.
Frequently Asked Questions
What series are used for TSA statisticians?
Common federal series are 1529 Mathematical Statistics and 1530 Statistics.
Do the two series have the same education requirement?
No. Their required mathematics, statistics and related coursework differ.
Are transcripts required?
They are commonly required to verify the professional education standard.
Is chart-making enough experience?
No. Professional statistical methods and analysis are required.
Can a TSO become a Statistician?
Yes, after meeting the applicable education and specialized-experience requirements.
Exploring Mission Support roles?
Use the Mission Support careers hub to compare series and education requirements. When a vacancy opens, apply through the TSA application guide and track progress with the application status guide. Many candidates start as TSOs — review the TSA test-prep hub and optional JobTestPrep TSA PrepPack.